Date |
Time |
Activities |
Topic |
Speaker |
Wednesday, 19th October |
8:00 - 9:00 |
Arrival and Networking |
||
9:00 β 9:15 |
Recognition of Guests and Sponsors |
Ariane Houetohossou |
||
9:15 β 9:20 |
Programme Overview |
|||
9:20 - 9:25 |
Goodwill Messages |
Vice Chancellor, University of Abomey Calavi |
||
9:25 β 9:40 |
Deep Learning Indaba and IndabaX Benin Republic (Organizer of IndabaX Benin) |
Jeremiah Olamijuwon |
||
9:40 β 10:15 |
Talk 1 |
Opportunities of Artificial Intelligence in the Service Delivery and Telecommunications Industry. |
Prof. Eugene Ezin & Dr. Stephen Fashoto. |
|
10:15 β 11:00 |
Talk 2 |
Challenges facing the Growth and Delivery of Artificial Intelligence in the Service Delivery and Telecommunications Industry |
Dr. Sakinat Folorunso & Marianne Balogoun |
|
|
11:00 β 11:15 |
Tea Break |
|
|
|
11:15 β 12:00 |
Talk 3 |
Ethical and Responsible AI in the Service Delivery and Telecommunications Industry |
Deon Thomas & Jean-Henock Sèmèvo Viayinon |
|
12:00 β 13:00 |
Lunch Break and Networking |
|
|
|
13:00 β 13:45 |
Speaker 4 |
Artificial Intelligence for All - AutoML and Low/No Code AI |
Oluwabamigbe Oni |
|
13:45 β 14:15 |
Panel Discussions |
Problems faced with AI in Benin and surroundings and how to address them |
Moderator: Olanrewaju Daniya; Panelists: Evrard Akpla | Tahi Souand |
|
14:15 β 15:00 |
Speaker 5 |
Self Active Learning for Multilingual Language Models: A case study of 23 African language |
Bonaventure Dossou |
15:00 β 15:15 |
Closing remarks |
Thursday, 20th October |
8:00 β 9:00 |
Arrival and Networking |
|
Olanrewaju Daniya |
|
9:00 β 9:05 |
Welcome Address |
|
Ariane Houetohossou |
9:05 β 10:00 |
Practical Sessions 1 |
Introduction to Machine/Deep Learning |
Jeremiah Olamijuwon |
|
10:30 β 11:45 |
Practical Sessions 2 |
Introduction to Cloud Computing |
Jeremiah Olamijuwon |
|
10:30 β 11:45 |
For Sponsor |
Machine Learning Data Repositories and Networking |
Zindi |
|
10:45 β 12:30 |
Tea Break and Poster Presentations |
|
|
|
12:30 β 13:45 |
Practical Sessions 3 |
Introduction to Python Programming |
Jeremiah Olamijuwon |
|
13:45 β 14:30 |
Lunch |
|
|
|
14:30 β 16:00 |
Practical Sessions 4 |
Setup of requirements ahead of Day 3βs practical sessions (Anaconda, libraries installation, cloud account setups) |
Jeremiah Olamijuwon & Tahi Souand |
|
16:00 β 16:15 |
Hackathon Declaration |
|
Ariane Houetohossou |
|
16:00 β 16:15 |
Closing remarks |
|
Daniya Olanrewaju |
Friday, 21st October |
9:00 β 9:05 |
Program Introduction |
Olanrewaju Daniya |
|
|
9:05 β 11:00 |
Lab 1 |
Data Analysis and Visualization - Consumer Data Churn |
Jeremiah Olamijuwon & Tahi Souand |
11:00 β 12:00 |
Tea Break |
|
|
|
12:00 β 13:00 |
Lab 2 |
Machine Learning Modelling - Predicting Customer Churn |
Jeremiah Olamijuwon & Tahi Souand |
|
13:00 β 13:30 |
Interactive and Open Session |
Questions and Answers on Machine Learning |
Jeremiah Olamijuwon & Tahi Souand |
|
13:30 β 15:00 |
Women in AI and Lunch |
|
Ariane Houetohossou |
|
15:00 β 15:30 |
Lab 3 |
Building APIs and Deployment of Machine Learning Models |
Jeremiah Olamijuwon |
|
15:30 β 16:30 |
Lab 4 |
Introduction to Computer Vision |
Jeremiah Olamijuwon |
|
16:30 β 16:40 |
Hackathon Prizes Announcement |
|
Ariane Houetohossou |
|
16:40 β 16:55 |
Vote of thanks |
|
Ariane Houetohossou & Daniya Olanrewaju |
|
16:55 β 17:00 |
Closing remarks |
|
Jeremiah Olamijuwon |